Engagement Rate Calculator
The same post has three different engagement rates depending on whether you divide by followers, by reach or by impressions. This calculator gives you all three at once, shows the formula behind each one, and leaves you to pick the number you can actually defend.
Platform
Audience
Interactions on the post
Why the three numbers are different
They are not three attempts at the same figure. They answer three different questions, and the gap between them is itself information : on the example above, the same post is a 5.06% account, a 6.81% post and a 4.70% impression. Pick the one that matches the question you are answering.
- By followers — the only one you can calculate for an account you do not own, because follower counts are public and reach is not. Use it to compare accounts against each other and to vet an influencer before you pay them. Its weakness is that it punishes big accounts and flatters small ones, and it quietly rewards posts that got pushed to non followers.
- By reach — of the people who actually saw this, how many did something. This is the honest read on whether the post landed, because it is not distorted by how big the account is or how far the algorithm pushed it. Use it to compare your own posts against each other.
- By impressions — the most conservative of the three, because impressions count repeat views, so the denominator is always the largest and the percentage always the smallest. Useful when you want the number nobody can accuse you of inflating.
Which is why an engagement rate quoted without its method is meaningless
Platforms, agencies, influencer marketplaces and media kits all quote engagement rate, and they do not all use the same denominator. A creator quoting 6.8% by reach and one quoting 5.1% by followers may be the same creator. Before you compare two engagement rates, or accept one in a pitch, ask which denominator produced it. If the answer is not immediate, the number is not comparable to anything.
How to use this calculator
- Pick the platform. The interaction fields rename themselves to what that platform actually calls things : saves on Instagram, reposts on LinkedIn and X, bookmarks on X, nothing to translate in your head. The audience field changes too, to subscribers on YouTube.
- Enter the audience numbers. Followers is required. Reach and impressions are optional, and if you leave either blank that method greys out rather than showing you a number built on a guess.
- Enter the interactions. Any field you leave blank counts as zero, so a post with no saves is not a problem. Decimals are accepted if you are working with averages across several posts.
- Read all three results, then decide which one you are going to quote. Write the method down next to the number. A percentage with no denominator attached will be misread by whoever sees it next, including you in three months.
The three formulas, and when each one is the right one
| Method | Formula | Use it when |
|---|---|---|
| ER by followers | Interactions ÷ followers × 100 | Comparing accounts you do not own, vetting an influencer, or reading a media kit. It is the only method whose denominator is public. |
| ER by reach | Interactions ÷ reach × 100 | Judging whether one of your own posts landed with the people it reached. The fairest post to post comparison inside one account. |
| ER by impressions | Interactions ÷ impressions × 100 | Reporting to someone who will challenge the number. Impressions include repeat views, so this is always the lowest of the three. |
Two practical notes on the numerator. First, saves and shares are usually the interactions that correlate with distribution, because they are the ones platforms treat as strong signals, so a post with a modest like count and a high save count can be a better post than its headline rate suggests. Second, whether you count follows, profile visits, link clicks or video views as interactions is a decision you have to make and then stick to. This calculator deliberately does not count them, because clicks and views measure something different from engagement and mixing them in makes month to month comparison impossible. If your reporting template counts them, that is defensible, but keep it consistent and say so.
Why this page does not tell you what a good engagement rate is
Because we would have to make it up. Published engagement rate benchmarks disagree with each other wildly, they shift with account size, niche, posting format and country, and most of them never say which denominator they used, which makes them unusable for comparison even when they are honestly collected. A benchmark built on reach cannot be compared with your number built on followers, and half the benchmarks in circulation do not tell you which they are.
The two comparisons that hold up are much less exciting. The first is your own account over time : this month's average against last quarter's, measured the same way, on the same platform, with the same definition of an interaction. The second is your own named competitors, measured by the only method you can calculate for an account you do not own, which is by followers. Everything else is somebody else's account being used as a target for yours.
If you want context for where engagement rate sits among the metrics that actually get reported, our guide to marketing KPIs covers which numbers belong in a report and which are vanity, and the social media marketing guide covers how the channel is measured end to end. For the platform where this question gets asked most, the Instagram guide goes into what the platform reports and what it does not.
What this calculator cannot see
It does arithmetic on numbers you type in. It does not connect to Instagram, LinkedIn, YouTube or X, it cannot verify a single figure you enter, and it cannot tell the difference between genuine engagement and a pod, a giveaway spike or bought interactions. A high rate from a comment pod computes exactly like a high rate from a good post. It also works on one post at a time : for an account level rate, average your interactions and your audience numbers across a consistent set of recent posts first, and use the same set every time you re run it. Nothing you type is sent to us or stored anywhere. It is all calculated in your browser, and refreshing the page clears it.
Frequently asked questions
What is the engagement rate formula?
Total interactions ÷ audience × 100. Interactions normally means likes, comments, shares and saves added together. The audience number is where calculators differ: followers, reach or impressions. This tool runs all three so you can see the size of the difference on your own post.
Should I calculate engagement rate by followers or by reach?
By reach when you are judging your own posts, because it tells you how the people who actually saw the post responded. By followers when you are comparing accounts or vetting an influencer, because followers is the only denominator that is public. Whichever you choose, use the same one every time or your trend line means nothing.
Do saves and shares count as engagement?
Yes, and on Instagram they are often the most useful part of the total, because saves and shares tend to travel with distribution rather than just following it. Not every platform exposes them: LinkedIn gives you reactions, comments and reposts, YouTube gives likes, comments and shares. This calculator only asks for the fields the platform you selected actually reports.
What is a good engagement rate?
We will not publish a number, because an honest one does not exist in the abstract. Published benchmarks disagree with each other, they move with account size, niche and format, and most of them do not state which denominator they used. Compare your account with its own history, and with your own competitors measured the same way. That comparison is real; a benchmark whose method you cannot see is not.
Is anything I type here sent to you?
No. Every calculation runs in your browser as you type. Nothing is transmitted, nothing is stored, and refreshing the page clears everything.
Know the rate. Now fix the posts.
Send us a handle and the rough numbers. We will tell you honestly which posts are carrying the account, which format is dragging the average down, and whether the rate is a content problem or a distribution one.